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CN108882877A - Biont information analytical equipment, system and program - Google Patents

Biont information analytical equipment, system and program Download PDF

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Publication number
CN108882877A
CN108882877A CN201780022537.XA CN201780022537A CN108882877A CN 108882877 A CN108882877 A CN 108882877A CN 201780022537 A CN201780022537 A CN 201780022537A CN 108882877 A CN108882877 A CN 108882877A
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CN
China
Prior art keywords
blood pressure
index
biont information
pressure waveform
analytical equipment
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201780022537.XA
Other languages
Chinese (zh)
Other versions
CN108882877B (en
Inventor
中嶋宏
和田洋贵
土屋直树
笠井诚朗
闲绘里子
上野山彻
尾林庆
尾林庆一
小久保绫子
太田雄也
志贺利
志贺利一
桑原光巨
佐藤博则
宫川健
堤正和
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Omron Corp
Omron Healthcare Co Ltd
Original Assignee
Omron Corp
Omron Healthcare Co Ltd
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Publication date
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Publication of CN108882877A publication Critical patent/CN108882877A/en
Application granted granted Critical
Publication of CN108882877B publication Critical patent/CN108882877B/en
Active legal-status Critical Current
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    • A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
    • A61M2021/0005—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus
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    • A—HUMAN NECESSITIES
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Abstract

Biont information analytical equipment of the invention has：Index extraction portion, the data for the blood pressure waveform continuously measured from the sensor by the blood pressure waveform for being worn on the body of user and capableing of non-invasively measuring heartbeat each time, feature based on blood pressure waveform extracts the index of the event occurrence risk for indicating to change based on blood pressure；And processing unit, carry out the processing based on the index extracted.

Description

Biont information analytical equipment, system and program
Technical field
The present invention relates to the technologies that a kind of blood pressure waveform according to measurement obtains the technology of useful information.
Background technique
Become known for measure Radial artery internal pressure change and record pressure pulse wave shape (blood pressure waveform) technology. It is disclosed in patent document 1 (Japanese Unexamined Patent Publication 2008-61824 bulletin) and blood pressure is measured by tonometry (Tonometry) Waveform, and AI (Augmentation Index is obtained according to blood pressure waveform：Augmentation index) value, pulse wave cycle, baseline variation Rate, clarity, ET (Ejection Time：Ejection time) etc. information.In addition, (the Japanese Unexamined Patent Application Publication 2005- of patent document 2 No. 532111 bulletins) in disclose and taken blood pressure waveform with watch style blood pressure measuring, and according to blood pressure waveform calculate mean arterial pressure, Average systolic, AvDP, average systolic index and AvDP index, it is defeated when these values deviate a reference value Alarm out.
Existing technical literature
Patent document
Patent document 1：Japanese Unexamined Patent Publication 2008-61824 bulletin
Patent document 2：Japanese Unexamined Patent Application Publication 2005-532111 bulletin
Summary of the invention
Problem to be solved by the invention
It was noted that obstructive sleep apnea (OSA, Obstructive Sleep Apnea) and overexercise may It will increase the risk that circulatory system event occurs.However, it is previous, without effective means for detecting such event in real time Occurrence risk increases.
The present inventor is so as to which the corresponding blood pressure waveform of heartbeat each time under the state of acting on one's own can be accurately measured It is target that blood pressure measurement device, which obtains practical application, is carrying out exploitation with single-hearted devotion.By in the development process by reality The person's of testing experiment, the inventors discovered that can be extracted according to the blood pressure waveform data continuously measured under the state of acting on one's own various useful Information.For example, as it is known that sphygmomanometer compared with the existing technology specially obtains information related with blood pressure itself, if can be accurate And non-invasively monitor the blood pressure waveform of the heartbeat each time under the state of acting on one's own, in addition to information related with blood pressure itself Except can also extract related with the body of user various information (for example, with the function of respiratory system or the circulatory system/, shape Related information of state etc.).
Therefore, the purpose of invention is, provides for the increased novel technology of detecting event occurrence risk in real time.
The technical solution solved the problems, such as
To achieve the goals above, the present invention uses following configuration.
Biont information analytical equipment of the invention, which is characterized in that have：Index extraction portion, from by being worn on use On the body at family and be capable of non-invasively measuring heartbeat each time blood pressure waveform the blood pressure continuously measured of sensor The data of waveform, the feature based on blood pressure waveform extract the index of the event occurrence risk for indicating to change based on blood pressure；With And processing unit, carry out the processing based on the index extracted.
According to this constitution, can detect event caused by changing due to blood pressure in real time by monitoring blood pressure waveform and occur Risk increases.Moreover, because can with the non-invasively measuring blood pressure waveform, therefore for a user both facilitate and to user Caused by body burden and psychological burden it is small.
The index extraction portion be based on blood pressure waveform feature AI (Augmentation Index) and/or BRS(Baroreflex sensitivity：Baroreflex sensitivity) calculate the index.It is known that the hardness and blood of blood vessel Press regulating power related with the generation of circulatory system event.Since AI is the characteristic quantity for indicating blood vessel hardness, BRS is to indicate blood pressure The characteristic quantity of regulating power, therefore by using any one of AI and BRS or both, can be with reliability assessments higher The occurrence risk of system event.
For example, the index extraction portion can AI and benchmark AI based on the blood pressure waveform measured difference and/or measurement The difference of the BRS and benchmark BRS of blood pressure waveform out calculates the index.It, can be simple by assessing the deviation with a reference value And the size of reliability calculation risk higher.
Alternatively, the index extraction portion can be based on the distribution phase with AI and/or BRS in the blood pressure waveform of multiple heartbeat The feature of pass calculates the index.Feature relevant to the distribution for example may include average value and standard deviation or side Difference.So, it by using feature relevant to the distribution of AI or BRS in the blood pressure waveform of multiple heartbeat, can be improved pair The robustness of the measurement noise of blood pressure waveform, improves the reliability of estimation event occurrence risk.
The Biont information analytical equipment also has a case database, in multiple cases in the case database Each case notes has feature relevant to the distribution of the AI of multiple heartbeat and/or BRS, and the index extraction portion can assess It the relevant feature of the distribution to the AI of multiple heartbeat and/or BRS of the user and is recorded in multiple in the case database Similarity between the feature of case calculates the index based on assessment result.So, pass through assessment and multiple case data Similarity, can be further improved the reliability and objectivity of estimation event occurrence risk.
The index extraction portion can be predicted based on the feature of the blood pressure waveform at the current time measured from the user Blood pressure when current time blood pressure surge occurring changes, and calculates the index based on prediction result.According to this method, Neng Goujian Survey the rising of the event occurrence risk due to caused by blood pressure surge.
The index extraction portion is based on SBP (systolic blood pressure), the AI of the feature of blood pressure waveform At current time blood pressure wave occurs for (Augmentation Index) and BRS (Baroreflex sensitivity), prediction Blood pressure when gushing changes.Since AI is the characteristic quantity for indicating blood vessel hardness, BRS is the characteristic quantity for indicating blood pressure control ability, because This can predict higher that the blood pressure of the SBP based on current time is changed by using both AI and BRS with reliability.
The processing unit carries out being used for notification event when increasing based on the Indexs measure to event occurrence risk The increased processing of risk.Therefore, user can understand risk increase as early as possible, and take measures before event generation.
It should be noted that the present invention can be used as at least part of Biont information with above-mentioned composition or function Analytical equipment or system are grasped.In addition, the present invention can be used as including at least part of organism letter in above-mentioned processing It ceases analysis method or has such journey for making computer execute the program of such method or record in nonvolatile manner The computer-readable recording medium of sequence is grasped.As long as no technical inconsistency occurs, each in above-mentioned composition and processing It is a to be combined with each other to constitute the present invention.
Invention effect
According to the present invention it is possible to provide for the increased novel technology of detecting event occurrence risk in real time.
Detailed description of the invention
Fig. 1 is the figure for indicating the schematic configuration of appearance of Biont information analysis system 10.
Fig. 2 is the block diagram for indicating the hardware of Biont information analysis system 10 and constituting.
The cross-sectional view of state when Fig. 3 is the structure and measurement for schematically showing measuring unit of blood pressure 20.
Fig. 4 is the figure for indicating the blood pressure waveform measured by measuring unit of blood pressure 20.
Fig. 5 is the block diagram for illustrating the processing of Biont information analytical equipment 1.
Fig. 6 is the figure for indicating the waveform (blood pressure waveform) of the pressure pulse wave of Radial artery of a heartbeat.
Fig. 7 is the flow chart of event degree of the causing danger calculation processing in embodiment 1.
Fig. 8 is the concept map of the AI danger level in embodiment 1.
Fig. 9 is an example of the information output picture in embodiment 1.
Figure 10 is another example of the concept map of the AI danger level in embodiment 1.
Figure 11 is the flow chart of event degree of the causing danger calculation processing in embodiment 2.
Figure 12 is the figure for illustrating the estimation processing of the surge shape in embodiment 2.
Figure 13 is an example of the information output picture in embodiment 2.
Specific embodiment
Hereinafter, referring to attached drawing and illustrating preferred real mode of the invention.It should be noted that each composition recorded below Explanation should according to application the device of the invention composition and various conditions suitably change, be not intended to the scope of the present invention It is limited to record below.
Biont information analysis system
Fig. 1 is the outline for indicating the appearance of expression Biont information analysis system 10 according to an embodiment of the present invention The figure of composition.Fig. 1 shows the state being worn on Biont information analysis system 10 on left finesse.Biont information analysis system 10 include main part 11 and the band portion 12 being fixed on main part 11.Biont information analysis system 10 is so-called Wearable Equipment, and with the skin contact on the inside of main part 11 and wrist and by the configuration of main part 11 positioned at subcutaneous Radial artery TD's The mode of top is worn.It should be noted that in the present embodiment, be configured to be worn on device above Radial artery TD, But it is also configured to be worn on other superficial arteries.
Fig. 2 is the block diagram for indicating the hardware of Biont information analysis system 10 and constituting.In summary, Biont information is analyzed System 10 has measuring unit 2 and Biont information analytical equipment 1.Measuring unit 2 is to be obtained by measurement for being given birth to The equipment of the information of the analysis of object information, measuring unit 2 includes measuring unit of blood pressure 20, body moves measuring unit 21 and environment is surveyed Measure unit 22.However, the composition part of measuring unit 2 is not limited to composition part shown in Fig. 2.It is used for for example, can add The unit of Biont information (body temperature, blood glucose, brain wave etc.) other than measurement blood pressure and body are dynamic.Alternatively, due in aftermentioned reality It applies not used unit in example and is not necessary composition part, therefore not being equipped on can also in Biont information analysis system 10. Biont information analytical equipment 1 is the equipment for carrying out Biont information analysis based on the information obtained from measuring unit 2, organism Information analysis apparatus 1 includes control unit 23, input unit 24, output unit 25, communication unit 26 and storage unit 27.Each list Member 20~27 is connected with each other, so as to exchange signal by local bus or other signal wires.In addition, Biont information is analyzed System 10 has unshowned power supply (battery).
Measuring unit of blood pressure 20 is the unit that the pressure pulse wave of Radial artery TD is measured by tonometry.Tension Method is to press artery above skin with appropriate ground pressure to form plat part on artery TD, is made between artery internal pressure and external pressure Reach balance, with the method for pressure sensor non-invasively measuring pressure pulse wave.
It is to have 3-axis acceleration sensor and by the movement of the sensor measurement user's body that body, which moves measuring unit 21, The unit of (body is dynamic).It may include for the output of the 3-axis acceleration sensor to be converted to control unit that body, which moves measuring unit 21, The circuit of 23 formats that can be read.
Environment measurement unit 22 is the environmental information for measuring the physical and mental statuse (especially blood pressure) that may influence user Unit.Environment measurement unit 22 for example may include air-temperature sensor, humidity sensor, illuminance transducer, height sensor, Position sensor etc..Environment measurement unit 22 also may include for the output of these sensors etc. to be converted to control unit 23 The circuit for the format that can be read.
Control unit 23 is responsible for the control of the various pieces of Biont information analysis system 10, obtains from measuring unit 2 Data, the data of acquirement are stored in recording unit 27, the processing of data and analysis, data such as output and input at the various places Reason.Control unit 23 includes hardware processor (hereinafter referred to as CPU), ROM (Read Only Memory：Read-only memory), RAM (Random Access Memory：Random access memory) etc..The processing of aftermentioned control unit 23 is read in ROM by CPU or is deposited The program that stores in storage unit 27 is realized.RAM is played as the working storage when control unit 23 carries out various processing Function.It should be noted that in the present embodiment, being configured to be executed by control unit 23 from the acquirement data of measuring unit 2 And storage unit 27 is stored data into, but be also configured to that data are directly stored (write-in) to depositing from measuring unit 2 Storage unit 27.
The each component of embodiment, for example, measuring unit, index extraction portion, processing unit, judging part, risk data Library, input unit, output unit and case database etc. can be mounted on Biont information analysis system in the form of hardware In 10.Index extraction portion, processing unit and judging part can receive and execute the executable program stored in storage unit 27.Refer to Mark extraction unit, processing unit and judging part can according to need from measuring unit of blood pressure 20, body and move measuring unit 21, environment measurement Unit 22, input unit 24, output unit 25, communication unit 26, storage unit 27 etc. receive data.Vulnerability database and case The databases such as database may be mounted at storage unit 27 etc., can store in a manner of it can easily retrieve and accumulate data The information being organized into.Here, for example, disclosing Biont information analysis system 10 in Japanese Patent Application 2016-082069 Structure and movement etc..The content is incorporated by reference into this specification.In addition, in Japanese Unexamined Patent Publication 2016-087003 bulletin Disclose structure and the movement etc. of measuring unit of blood pressure.The content is incorporated by reference into this specification.
Input unit 24 is the unit for providing a user operation interface.It is, for example, possible to use Action Button, switch, Touch panel etc..
Output unit 25 is for providing the unit at the interface for carrying out information output to user.It is, for example, possible to use pass through The display device (liquid crystal display etc.) of image output information, by the sound output device or buzzer of sound output information, Pass through LED (the Light Emitting Diode of the flashing output information of light：Light emitting diode), pass through vibration output information Vibration device etc..
Communication unit 26 is the unit that data communication is carried out between other equipment.It can be as data communication mode all Such as Wireless LAN (Local Area Network：Local area network), any mode of Bluetooth (bluetooth, registered trademark) etc..
Storage unit 27 is the storage medium that can be stored and read out data, and is stored in and executes in control unit 23 Program, the measurement data obtained from each measuring unit, the various data obtained by processing measurement data etc..Storage unit 27 It is by electricity, magnetic, light, medium of the effect accumulation as the information of storage object mechanically or chemically.For example, using flash memory.It deposits It is portable that storage unit 27 can be storage card etc., is also possible to be built in Biont information analysis system 10.
Body moves measuring unit 21, environment measurement unit 22, control unit 23, input unit 24, output unit 25, storage list Part or all in member 27 can also be made of the equipment different from main part 11.That is, being built-in measuring unit of blood pressure 20 It can be worn on the form in wrist with the main part 11 for the circuit for carrying out the control, can freely design other units Structure.In this case, main part 11 is cooperated by communication unit 26 with other units.Such as, it may be considered that by intelligence The application program of mobile phone realizes the function of control unit 23, input unit 24, output unit 25, or from the dynamic measurement of body The motility meters of the function of unit 21 and environment measurement unit 22 obtain the various compositions such as the data needed.In addition it is also possible to Sensor for measuring the Biont information except blood pressure is provided.For example, can be by sleep sensor, pulse blood oxygen instrument (Pulse Oximeter) (SpO2 (blood oxygen saturation) sensor), respiration transducer (flow sensor), blood glucose value sensor Etc. combining.
It should be noted that in the present embodiment, by the sensor (measuring unit of blood pressure 20) for measuring blood pressure and carrying out The structure (control unit 23 etc.) of the analysis processing of blood pressure waveform data is arranged in a device, but they can also be divided Open configuration.In the present embodiment, the structure (control unit 23 etc.) by the analysis processing for carrying out Biont information is known as biology The device being made of the combination of measuring unit and Biont information analytical equipment is known as Biont information by body information analysis apparatus Analysis system.However, title is used in order to convenient, measuring unit and can also will carry out at the analysis of Biont information The structure of reason is collectively referred to as Biont information analytical equipment, or can also use other titles.
The measurement of blood pressure waveform
The cross-sectional view of state when Fig. 3 is the structure and measurement for schematically showing measuring unit of blood pressure 20.Blood pressure measurement Unit 20 has pressure sensor 30 and the pressing mechanism 31 for pressure sensor 30 to be pressed on to wrist.Pressure sensor 30 have multiple pressure detecting elements 300.Pressure detecting element 300 is to detect pressure and the member by pressure conversion for electric signal Part, it can be preferred to use the element etc. that piezoresistance effect is for example utilized.Pressing mechanism 31 is by such as air bag and for adjusting The pump of the internal pressure of the air bag is constituted.When the control of control unit 23 pumps the internal pressure to improve air bag, pass through the swollen of air bag It is swollen and pressure sensor 30 is pushed on skin surface.It should be noted that as long as pressing mechanism 31 can adjust pressure sensing Device 30 to the pressing force of skin surface, any mode all can, be not limited to the mode using air bag.
When Biont information analysis system 10 to be installed on wrist and start, control unit 23 controls measuring unit of blood pressure The pressing force of pressure sensor 30 is maintained state appropriate (tension state) by 20 pressing mechanism 31.Moreover, being passed by pressure The pressure signal controlled unit 23 that sensor 30 detects successively obtains.It is that will press by the pressure signal that pressure sensor 30 obtains The physical quantity (such as voltage value) for the simulation that power detecting element 300 is exported passes through the conversion such as A/D conversion circuit of well-known technique It is generated at the physical quantity of number.The physical quantity of the simulation can also be according to the type of pressure detecting element 300, using electric current The appropriate analogue value such as value or resistance value.The signal processing of A/D conversion etc. can also be by setting in measuring unit of blood pressure 20 Circuit as defined in setting carries out, can also be by other units for being arranged between measuring unit of blood pressure 20 and control unit 23 (not shown) carries out.The pressure signal that controlled unit 23 obtains is equivalent to the instantaneous value for scratching the internal pressure of bone artery TD.Cause This obtains pressure signal will appreciate that time granularity and the continuity of the blood pressure waveform of a heartbeat, and thus, it is possible to take Obtain the time series data of blood pressure waveform.Control unit 23 is by the pressure signal successively obtained by pressure sensor 30 and the pressure The information at the measurement moment of signal is stored in storage unit 27 together.Control unit page 23 can be direct by the pressure signal of acquirement It is stored in storage unit 27, storage unit can also be stored in after being applied with the signal processing of needs to the pressure signal 27.The signal processing needed may include such as calibrating (base measuring) pressure signal so that the amplitude and pressure value of pressure signal are (on such as Arm blood pressure) consistent processing, reduce or even eliminate the processing etc. of the noise of pressure signal.
Fig. 4 shows the blood pressure waveform measured by measuring unit of blood pressure 20.Horizontal axis indicates the time, and the longitudinal axis indicates blood pressure.It adopts Sample frequency can arbitrarily be set, in order to reappear a heartbeat waveform shape feature, be preferably set to 100Hz or more.One The period of secondary heartbeat general 1 second or so, therefore it is directed to the waveform of a heartbeat, obtain about 100 or more data points.
The measuring unit of blood pressure 20 of present embodiment has the following advantages.
The blood pressure waveform of heartbeat each time can be measured.In this way, for example, the shape feature based on blood pressure waveform, energy It accesses and the associated various indexs such as the state of blood pressure or heart, cardiovascular risk.In addition, due to that can monitor blood The instantaneous value of pressure so blood pressure surge (rising sharply of pressure value) can be detected immediately, or even if only occurs in extremely short Time (1 time~multiple heartbeat) in blood pressure change or the entanglement of blood pressure waveform detects with also omitting.
It should be noted that being installed on wrist or upper arm as Portable blood-pressure meter and measuring blood by oscillographic method The sphygmomanometer of this type is pressed to obtain practical application.But previous Portable blood-pressure meter can only be according to several seconds~more than ten seconds The variation of the cuff internal pressure of multiple heartbeat measures the average value of blood pressure, cannot as present embodiment measuring unit of blood pressure 20 that Sample obtains the time series data of the blood pressure waveform of heartbeat each time.
It is able to record the time series data of blood pressure waveform.The time series data of blood pressure waveform is obtained, for example, grasping blood The relevant feature of the variation to the time of corrugating, frequency analysis is carried out to time series data and extract specific frequency at Point, thus, it is possible to obtain and the associated various indexs such as blood pressure, the state of heart, cardiovascular risk.
As portable (wearable) device constitute, to user apply measurement burden it is smaller, be also easier into The prolonged continuous measurement of row or the monitoring etc. for the blood pressure for further carrying out 24 hours.In addition, due to be it is portable, no Blood pressure when being only peace and quiet, additionally it is possible to which measurement acts on one's own under state the blood pressure of (such as daily life or movement in).It is logical Cross in such manner, it is possible to grasp such as in daily life action (sleep, dining, commuting, work, medication) or movement blood pressure is applied The influence added.
Previous product is the type that arm and wrist are fixed on measuring unit of blood pressure and are measured under rest state Device, cannot be measured as the Biont information analysis system 10 of present embodiment daily life or movement in blood pressure become Change.
It is easy to the combination of other sensors or cooperate.The letter that can be directed to and for example be obtained with others sensors The causality of breath (other Biont informations such as environmental information, SpO2 or breathing of dynamic, temperature of body etc. etc.) carry out assessment or Comprehensive assessment.
Biont information analytical equipment
Fig. 5 is the block diagram for illustrating the processing of Biont information analytical equipment 1.As shown in figure 5, Biont information is analyzed Device 1 has index extraction portion 50 and processing unit 51.In the present embodiment, control unit 23 can also execute the journey of needs Sequence is achieved in the processing in index extraction portion 50 and processing unit 51.The program is stored in storage unit 27.When control is single When member 23 executes the program needed, the program as object stored in ROM or storage unit 27 is unfolded on RAM.And And the program being unfolded on RAM is explained with CPU and executed to control unit 23, to control each component.But It can also be by some or all of the processing of the circuits composing indexes such as ASIC or FPGA extraction unit 50 and processing unit 51.Or Person, can also be by the computer (such as smart phone, tablet terminal, personal computer, the Cloud Server that separate with main part 11 Deng) realize index extraction portion 50 and processing unit 51 processing it is some or all.
Index extraction portion 50 obtains the blood pressure waveform continuously measured by measuring unit of blood pressure 20 from storage unit 27 Time series data.The feature with blood pressure waveform is extracted according to the time series data of the blood pressure waveform of acquirement in index extraction portion 50 Relevant index.Herein, the feature of blood pressure waveform includes, the shape feature of the blood pressure waveform of a heartbeat, blood pressure waveform with Variation, frequency content of blood pressure waveform of time etc..But the feature of blood pressure waveform be not limited to it is above-mentioned these.The finger extracted Mark is output to processing unit 51.About the feature and index of blood pressure waveform, there are various features and index, according to place The purpose for the processing that reason portion 51 carries out, being capable of the appropriately designed or feature and index to be extracted of selection.For according to this reality Feature and index that the measurement data of the blood pressure waveform of mode can be extracted are applied, is described in detail later.
Index extraction portion 50 is when finding out index, and other than the measurement data of blood pressure waveform, the dynamic survey of body also can be used Measure the measurement data of unit 21 and/or the measurement data of environment measurement unit 22.In addition, can will be slept although being not shown The measurement data of dormancy sensor, SpO2 sensor, respiration transducer (flow sensor), blood glucose value sensor etc. is combined. A plurality of types of measurement data obtained by comprehensive analysis by a plurality of types of sensors can carry out blood pressure waveform higher The information analysis of grade.When can classify according to each state of user to blood pressure waveform data, such as be classified as static and When movement, when temperature is higher and when lower, when sleep is shallower and when deeper, when breathing and when apnea in this way.Alternatively, may be used also With causality and the correlation etc. for assessing each measurement data, body kinematics, activity and activity intensity are such as extracted, temperature becomes The influence etc. that change, apnea, breathing pattern etc. apply blood pressure.It should be noted that including in apnea：It is obstructive to exhale Inhale pause, central apnea, mixed apnea etc..
Processing unit 51 receives the index extracted by index extraction portion 50.Processing unit 51 carries out the place based on received index Reason.Processing based on index assume that as various processing.For example, processing unit 51 can be by the finger target value extracted and variation Etc. being presented to the user with doctor, health care teacher etc., and the finger target value for promoting said extracted to go out and variation etc. in health control, control Utilization in treatment, health guidance etc..Alternatively, the guide for keeping fit or improving risk can be presented in processing unit 51.In addition, When processing unit 51 detect or predict event occurrence risk increase when, notify user and attending physician etc., or controlled with It prevents to make the heart etc. of user cumbrous action or the generation of cardiovascular event.
The information obtained according to blood pressure waveform
Fig. 6 shows the waveform (blood pressure waveform) of the pressure pulse wave for scratching bone artery of a heartbeat.Horizontal axis is time t [msec], the longitudinal axis are blood pressure BP [mmHg].
Blood pressure waveform is heart contraction and sends out blood and generate " penetrating blood wave " and penetrate blood wave in peripheral vessel or artery Branched portion reflection and generate " back wave " composite wave.Blood pressure waveform described below according to a heartbeat can extract Characteristic point an example.
Point F1 is the rising point of pressure pulse wave.Point F1 and heart penetrate blood starting point, i.e. the opening point of aorta petal It is corresponding.
Point F2 is the point (the first peak value) penetrating the amplitude (pressure) of blood wave and becoming maximum.
Point F3 is the inflection point by being superimposed with back wave, and occurring in the way for penetrating the decline of blood wave.
Point F4 is to penetrate the minimal point occurred between blood wave and back wave, is also referred to as recessed.The closing of itself and aorta petal Point corresponds to.
Point F5 is the peak value (the second peak value) of the back wave occurred after point F4.
Point F6 is the terminal of a heartbeat, penetrates the blood starting point i.e. starting point pair of heartbeat next time with heartbeat next time It answers.
Any algorithm can be used in index extraction portion 50 in the detection of features described above point.For example, index extraction portion 50 Operation can also be carried out, the n times differentiated waveform of blood pressure waveform is found out, detects the zero cross point of the n times differentiated waveform, thus extract The characteristic point (inflection point) of blood pressure waveform (is directed to point F1, F2, F4, F5, F6, can be detected according to 1 subdifferential waveform；For point F3 can be detected according to 2 subdifferential waveforms or 4 subdifferential waveforms.).Alternatively, index extraction portion 50 can also be single from storage Member 27 reads the waveform patterns for being provided with characteristic point in advance, so that the waveform patterns is fitted the blood pressure waveform as object, thus really The position of fixed each characteristic point.
T and pressure BP at the time of based on features described above point F1~F6, index extraction portion 50 is able to carry out operation, according to one The blood pressure waveform of secondary heartbeat obtains various information (value, characteristic quantity, index etc.).Hereinafter, illustrated according to blood pressure wave The information representative in information that shape can obtain.But tx and BPx are at the time of respectively indicate characteristic point Fx and blood pressure.
Pulse wave spacing (heart beat cycle) TA=t6-t1
Beats PR=1/TA
Pulse wave rise time UT=t2-t1
Systole phase TS=t4-t1
Diastole TD=t6-t4
The back wave delay time=t3-t1
Maximal blood pressure (systolic blood pressure) SBP=BP2
Minimal blood pressure (diastolic blood pressure) DBP=BP1
The area of the blood pressure waveform of mean blood pressure MAP=t1~t6/heart beat cycle TA
Area/systole phase TS of mean blood pressure=t1~t4 blood pressure waveform in systole phase
Area/diastole TD of mean blood pressure=t4~t6 blood pressure waveform of diastole
Pulse pressure PP=maximal blood pressure SBP- minimal blood pressure DBP
It shrinks the later period and presses SBP2=BP3
AI (Augmentation Index)=(shrink the later period and press SBP2- minimal blood pressure DBP)/pulse pressure PP
The basic statistics amount of above-mentioned information (value, characteristic quantity, index) can also act as index.Basic statistics amount includes, Such as typical value (average value, median, mode, maximum value, minimum value etc.), dispersion degree (variance, standard deviation, coefficient of alteration Deng).In addition, above-mentioned changing with time for information (value, characteristic value, index) can also act as index.
In addition, index extraction portion 50 can also calculate the information of multiple heartbeat, referred to as BRS (blood pressure control function is thus obtained Can) index.This is the index for indicating for blood pressure to be adjusted to constant ability.Calculation method has such as Spontaneous Sequence (spontaneous sequence) method etc..This is a kind of following method, that is, only extracts maximal blood pressure SBP and pulse wave spacing TA It is synchronous in a period of more than continuous 3 heartbeats to rise or the sequence of decline, drawn on two-dimensional surface maximal blood pressure SBP and Pulse wave spacing TA, the method that gradient when finding out the tropic by least square method is defined as BRS.
As described above, if using present embodiment Biont information analysis system 10, can be according to blood pressure waveform Data obtain various information.Yet it is not desirable to which the function mounting of above-mentioned whole information will be used to obtain in biology Body information analysis system 10.According to the composition of Biont information analysis system 10, user, using purpose, using place etc., only Installation is for obtaining the function of the information needed.Alternatively, it is also possible to come each function as program module (application software) It provides, the program module of needs is installed on Biont information analysis system 10, thus add function.
Hereinafter, being directed to the specific application of Biont information analysis system 10, illustratively illustrate several embodiments.
Embodiment 1
The present embodiment is as monitoring blood pressure waveform and the increased example of detecting event occurrence risk.
It is known that the hardness and blood pressure control ability of blood vessel are related with the generation of circulatory system event.The hardness of blood vessel is by claiming It is indicated for the index of AI (Augmentation Index).Blood pressure control ability is that pressure value is maintained at a certain range of Ability is indicated by the index of referred to as BRS (Baroreflex sensitivity).50 basis of index extraction portion of the present embodiment The blood pressure waveform of heartbeat each time calculates AI, more than heartbeat twice according to a heartbeat and before amount to heartbeat three times with On systolic blood pressure SBP and pulse wave spacing TA calculate BRS.Then, value of the index extraction portion 50 based on AI and BRS, meter Calculate the index (referred to as event degree of causing danger) of the occurrence risk of circulatory system event caused by indicating to change due to blood pressure.
Fig. 7 indicates the flow chart of the processing of the present embodiment.
Firstly, index extraction portion 50 obtains the practical morbidity example of circulatory system event from circulatory system event case database AI and BRS statistic (average, standard deviation) (step 3600).Circulatory system event case database is that record has and follows The database of the information of the relevant a large amount of cases of loop system event, for example, it can pass through Internet use.
Then, index extraction portion 50 reads recently the blood pressure waveform data (step of heartbeat three times or more from storage unit 27 3601) the characteristic point F1-F6 (step 3602) of blood pressure waveform, is detected by characteristic point detection processing.Characteristic point detection processing Specific method is as shown in Figure 6.It should be noted that index extraction portion 50 can directly be obtained from measuring unit of blood pressure 20 it is newest The blood pressure waveform data of heartbeat, without being obtained from storage unit 27.In addition, the characteristic point that will be detected in step 3602 Index extraction portion 50 can save identical blood pressure waveform into storage unit 27, and since next time for the data storage of F1-F6 The slightly processing (being replaced with reading characteristic point F1-F6 from storage unit 27) of step 3602.
Then, index extraction portion 50 is according to the pressure value BP1 (diastolic blood pressure DBP) of characteristic point F1, the blood of characteristic point F2 The pressure value BP3 (shrink the later period and press SBP2) of pressure value BP2 (systolic blood pressure SBP) and characteristic point F3 calculates AI (=(BP3- BP1)/(BP2-BP1)).In addition, index extraction portion 50 is according to systolic blood pressure SBP and pulse more than heartbeat twice before Wave spacing TA and the SBP and TA of the secondary heartbeat calculate BRS (step 3603).The heartbeat each time of user itself is obtained as a result, AI and BRS value.
Then, the average value of AI and BRS of the index extraction portion 50 based on morbidity example and standard deviation and user itself The value of AI and BRS, calculating event degree of causing danger (step 3604).Specifically, index extraction portion 50 obtain according to the following formula AI and The respective danger level of BRS, and using the summation of AI danger level and BRS danger level as event degree of causing danger.AI danger is shown in Fig. 8 The concept map of dangerous degree.
Event degree of causing danger=AI danger level+BRS danger level
AI danger level=user AI- benchmark AI
The standard deviation of average value-morbidity example AI of the AI of benchmark AI=morbidity example
BRS danger level=user BRS- benchmark BRS
The standard deviation of average value-morbidity example BRS of the BRS of benchmark BRS=morbidity example
At this point, index extraction portion 50 is preferably normalized, so that AI danger level and BRS danger level all have 0~50 Codomain.This is because the weight of AI and BRS is identical, and event degree of causing danger has 0~100 codomain, so that as finger It marks easy to use.
Then, processing unit 51 is shown in calculated event degree of causing danger (step in step 3604 on the display apparatus 3605).Fig. 9 is an example of information output picture.In the example of Fig. 9, the score value and correspondence of display event degree of causing danger The blood pressure waveform of the score value.In addition, if event degree of causing danger is more than threshold value (step 3606), then processing unit 51 passes through alarm And/or vibration etc. informs the user event occurrence risk and increases (step 3607).Each heartbeat repeat step 3601~ Processing in 3607.
According to the above configuration, detecting event occurrence risk can increase in real time.Then, when danger level increases, pass through police Report or vibration informing user allow to take measures before event occurs.For example, if being detected when body is in activity Danger level increase can then take the quiet posture sat down or lain down immediately etc..In addition, if detecting due to blocking Property sleep apnea and cause danger level to increase, then user can be promoted to revive by alarm or vibration, or can suggested Go to hospital.
It should be noted that in the above-described configuration, having used two characteristic quantities of AI and BRS, but can also be used only wherein One characteristic quantity calculates danger level.Alternatively, another characteristic quantity can also be used to calculate danger level.
When circulatory system event case database is directed to each event type (cerebral infarction, subarachnoid hemorrhage, heart failure Exhaust) and have AI and BRS data when, can also for each event type calculate event degree of causing danger.In addition, when circulation When system event case database includes information (viscosity etc.) relevant to cholesterol value and blood, these can also be used for thing The calculating of part degree of causing danger.It is identical as AI etc. as specific method, it can be by " mean-std " of case data As a reference value, and using a reference value and the difference of the measured value of user as danger level.
In the above-described embodiments, " mean-std " is set by a reference value, but when wishing to be severe in judgment, that is, When it is desirable that at all danger is not omitted, the weight coefficient of standard deviation can be changed to " average value -2 × standard deviation ". In addition, if it is more effective according to the medical knowledge discovery benchmark different from current definition, then it can be as benchmark.
In addition, when being directed to each of multiple cases (multiple hair patients) disease in circulatory system event case database Example record is when having the multiple measurement data or statistic (average value, standard deviation, variance etc.) of AI, then index extraction portion 50 can be with AI danger level is calculated as shown in Figure 10.That is, index extraction portion 50 calculates the average value and standard of the AI of each case (respectively sending out patient) Deviation, and each case is expressed as to the point on the two-dimensional space of AI average value and AI standard deviation.Similarly, index extraction portion 50 Also the AI average value and AI standard deviation that obtain according to the blood pressure waveform data of the multiple heartbeat of user are plotted in two-dimensional space On.Then, index extraction portion 50 assesses the similarity between the set of the data point of all cases and the data point of user, and base AI danger level is calculated in assessment result (similarity).Similarity can also be directly used as to AI danger level, can also will to it is similar Spending, there is the score value of positive correlation to be used as AI danger level.It index extraction portion 50 for example can be by the set of the data point of all cases The distance between data point of user is used as similarity.The nearlyr similarity of distance is higher, and therefore, AI danger level is also higher.It needs It is noted that the distance between the set and the data point of user of the data point of all cases can be the data of all cases The distance between center of gravity and the data point of user of point, are also possible to geneva (Maharanobis) distance.BRS danger level can also Similarly to define.Alternatively, can also be averaged using AI, AI standard deviation, BRS is average, BRS standard deviation space-time is next Find out the danger level for considering two indices.
So, pass through the relevant feature of the distribution of AI or BRS in the blood pressure waveform based on the multiple heartbeat to user (average value, standard deviation, variance etc.) calculates event occurrence risk (danger level), can be enhanced and makes an uproar for the measurement of blood pressure waveform The robustness (Robust) of sound, and improve the reliability for estimating event occurrence risk.In addition, passing through assessment and multiple cases The similarity of data can be further improved the reliability and objectivity of the estimation of event occurrence risk.
Embodiment 2
The present embodiment is also monitoring blood pressure waveform and the increased example of detecting event occurrence risk.It should be noted that this The information of the embodiment algorithm detecting event occurrence risk different from embodiment 1.
The hardness and blood pressure control ability of known blood vessel are related with the generation of circulatory system event.The hardness of blood pressure is by being known as The index of AI (Augmentation Index) indicates.Blood pressure control ability is that pressure value is maintained to a certain range of energy Power, and indicated by the index of referred to as BRS (Baroreflex sensitivity).50 basis of index extraction portion of the present embodiment The blood pressure waveform of heartbeat each time calculates systolic blood pressure (SBP) and AI, and heartbeat twice according to a heartbeat and before More than above i.e. total heartbeat three times systolic blood pressure SBP and pulse wave spacing TA calculate BRS.Then, index extraction portion 50 are based on these values, and prediction " blood pressure when blood pressure surge occurs for current time changes " is based on prediction result, finds out expression by blood The index (referred to as event degree of causing danger) of event occurrence risk caused by buckling is dynamic.
The flow chart of the processing of the present embodiment is shown in Figure 11.
Firstly, index extraction portion 50 reads recently the blood pressure waveform data (step of heartbeat three times or more from storage unit 27 3900) the characteristic point F1-F6 (step 3901) of blood pressure waveform, is detected by characteristic point detection processing.Characteristic point detection processing Specific method is as shown in Figure 6.It should be noted that index extraction portion 50 can directly be obtained from measuring unit of blood pressure 20 it is newest The blood pressure waveform data of heartbeat, without being obtained from storage unit 27.In addition, the feature that will be detected in step 3901 The data of point F1-F6 are stored to storage unit 27, and index extraction portion 50 can save identical blood pressure waveform since next time The slightly processing (being replaced with reading characteristic point F1-F6 from storage unit 27) of step 3901.
Then, index extraction portion 50 is according to the pressure value BP1 (diastolic blood pressure DBP) of characteristic point F1, the blood of characteristic point F2 The pressure value BP3 (shrink the later period and press SBP2) of pressure value BP2 (systolic blood pressure SBP) and characteristic point F3 calculates AI (=(BP3- BP1)/(BP2-BP1)).In addition, feature extraction unit 50 is according to systolic blood pressure SBP and pulse more than heartbeat twice before Wave spacing TA and the SBP and TA of the secondary heartbeat calculate BRS (step 3902).The heartbeat each time of user itself is obtained as a result, SBP, AI and BRS value.
Then, the value of SBP, AI and the BRS at current time of the index extraction portion 50 based on user itself, prediction is " if existing Blood pressure surge is occurring, will be what kind of surge shape " (step 3903).Specifically, as shown in figure 12, when providing conduct When the point Ps=(ts, BPs) of the SBP at current time is used as initial value, index extraction portion 50 uses the AI and BRS at current time, Carry out the processing of the peak point Pp=(tp, BPp) and terminal Pe=(te, BPe) of estimated blood pressure surge.In the present embodiment, such as Shown in following formula, peak point Pp and terminal Pe is obtained.
At the time of peak point：Tp=ts+k2
The blood pressure of peak point：BPp=a1 × k2+b
End of time：Te=(BPp-BPs)/a2+tp
Terminal blood pressure：BPe=BPs
Here, the decrease speed a2 of the rate of climb a1 of surge, surge use respectively the current time of user itself AI, BRS is found out according to the following formula.
The rate of climb of surge：A1=α × AI
The decrease speed of surge：A2=β × BRS
α, β are constants.In addition, the blood pressure b of surge starting point can be the pressure value BPs at the current time of user itself, The average value of the blood pressure in multiple heartbeat before being also possible to.K2 is the time since surge to peak value, and is constant. The value of α, β, k2 can be obtained from subject's experiment or case data, the blood pressure that can also be occurred in the past based on user itself The shape of surge is set.
Then, the shape of blood pressure surge of the index extraction portion 50 based on prediction calculates event degree of causing danger (step 3904).For example, can by the pressure value BPp of the peak point Pp of blood pressure surge, from the starting point Ps of blood pressure surge to terminal Pe's Time width te-ts, pass through group by the area of starting point Ps and peak point Pp and terminal the Pe triangle formed or by these Score value obtained from conjunction, as event degree of causing danger.
Then, processing unit 51 is shown in calculated event degree of causing danger (step in step 3904 on the display apparatus 3905).Figure 13 is an example of information output picture.In the example of Figure 13, the score value of display event degree of causing danger is received The measured value of contracting phase blood pressure SBP and pre- measuring blood pressure surge.In addition, if event degree of causing danger is more than threshold value (step 3906), Then processing unit 51 informs the user event occurrence risk increase (step 3907) by alarm and/or vibration etc..In each heartbeat Repeat the processing in step 3900~3907.
According to the above configuration, detecting event occurrence risk can increase in real time.Then, by being used when danger level increases Alarm or vibration informing user allow to take measures before event occurs.For example, if body is detected in activity Danger level increase can then take the quiet posture such as sit down or lie down immediately.In addition, if detecting obstructive due to occurring Sleep apnea and cause danger level to increase, then user can be promoted to revive by alarm or vibration, or can suggested Hospital.
It should be noted that the composition of the above-described embodiment and examples is only a specific example of the invention, not Intention limits the scope of the invention.The present invention can use various specific compositions in the range of not departing from its technical idea.
Technical idea disclosed in this specification also can specify following invention.
(note 1)
A kind of Biont information analytical equipment, which is characterized in that
Memory with hardware processor and for storing program,
The hardware processor according to described program,
From the biography of the blood pressure waveform by being worn on the body of user and capableing of non-invasively measuring heartbeat each time The data for the blood pressure waveform that sensor is continuously measured, the feature based on blood pressure waveform are extracted for indicating to be changed based on blood pressure Event occurrence risk index,
Carry out the processing based on the index extracted.
(note 2)
A kind of Biont information analysis system, which is characterized in that have：
Sensor is worn on the body of user and is capable of the blood pressure waveform of non-invasively measuring heartbeat each time,
Hardware processor, and
Memory, for storing program；
The hardware processor according to described program,
From the biography of the blood pressure waveform by being worn on the body of user and capableing of non-invasively measuring heartbeat each time The data for the blood pressure waveform that sensor is continuously measured, the feature based on blood pressure waveform are extracted for indicating to be changed based on blood pressure Event occurrence risk index,
Carry out the processing based on the index extracted.
(note 3)
A kind of Biont information analysis method, which is characterized in that including：
Using at least one hardware processor, from by be worn on the body of user and can non-invasively measuring it is every The data for the blood pressure waveform that the sensor of the blood pressure waveform of heartbeat is continuously measured, the feature based on blood pressure waveform, mention It takes in the index for the event occurrence risk for indicating to change based on blood pressure the step of；And
Using at least one hardware processor, the step of carrying out the processing based on the index extracted.
Description of symbols
1：Biont information analytical equipment 2：Measuring unit
10：Biont information analysis system, 11：Main part, 12：Belt
20：Measuring unit of blood pressure, 21：Body moves measuring unit, 22：Environment measurement unit, 23：Control unit, 24：Input is single Member, 25：Output unit, 26：Communication unit, 27：Storage unit
30：Pressure sensor, 31：Pressing mechanism, 300：Pressure detecting element
50：Index extraction portion, 51：Processing unit.

Claims (12)

1. a kind of Biont information analytical equipment, which is characterized in that have：
Index extraction portion, from the blood pressure wave by being worn on the body of user and capableing of non-invasively measuring heartbeat each time The data for the blood pressure waveform that the sensor of shape is continuously measured are based on blood pressure waveform feature, extract for indicating to be based on blood pressure The index of the event occurrence risk of variation；And
Processing unit carries out the processing based on the index extracted.
2. Biont information analytical equipment according to claim 1, which is characterized in that
AI (Augmentation Index) and/or BRS of the index extraction portion based on the feature as blood pressure waveform (Baroreflex sensitivity) calculates the index.
3. Biont information analytical equipment according to claim 2, which is characterized in that
The difference of AI and benchmark AI of the index extraction portion based on the blood pressure waveform measured, and/or the blood pressure waveform measured BRS and the difference of benchmark BRS calculate the index.
4. Biont information analytical equipment according to claim 2, which is characterized in that
To the distribution of AI and/or BRS relevant feature of the index extraction portion in the blood pressure waveform of multiple heartbeat is come based on Calculate the index.
5. Biont information analytical equipment according to claim 4, which is characterized in that
Feature relevant to the distribution includes average value, standard deviation or variance.
6. Biont information analytical equipment according to claim 4 or 5, which is characterized in that
The Biont information analytical equipment also has a case database, to each in multiple cases in the case database A case notes has feature relevant to the distribution of the AI of multiple heartbeat and/or BRS,
It assesses the feature relevant to the distribution of the AI of multiple heartbeat and/or BRS of the user and is recorded in the index extraction portion Similarity between the feature of multiple cases in the case database calculates the index based on assessment result.
7. Biont information analytical equipment according to claim 1, which is characterized in that
The feature of the blood pressure waveform of the index extraction portion based on the current time measured from the user is predicted when current It carves blood pressure when blood pressure surge occurs to change, the index is calculated based on prediction result.
8. Biont information analytical equipment according to claim 7, which is characterized in that
SBP (systolic blood pressure), AI (Augmentation of the index extraction portion based on the feature as blood pressure waveform Index) and BRS (Baroreflex sensitivity), blood pressure of the prediction when current time blood pressure surge occurring change.
9. Biont information analytical equipment described according to claim 1~any one of 8, which is characterized in that
The processing unit is carried out when being increased based on the Indexs measure to event occurrence risk for notification event occurrence risk Increased processing.
10. a kind of Biont information analysis system, which is characterized in that have：
Sensor is worn on the body of user and is capable of the blood pressure waveform of non-invasively measuring heartbeat each time, and
Biont information analytical equipment according to any one of claims 1 to 9, is continuously measured using by the sensor Blood pressure waveform data carry out Biont information analysis.
11. a kind of program, which is characterized in that
Make the index extraction portion of the processor as Biont information analytical equipment according to any one of claims 1 to 9 It is functioned with the processing unit.
12. a kind of Biont information analysis method, which is characterized in that including：
Index extraction step, from the blood pressure by being worn on the body of user and capableing of non-invasively measuring heartbeat each time The data for the blood pressure waveform that the sensor of waveform is continuously measured, the feature based on blood pressure waveform are extracted for indicating to be based on The index for the event occurrence risk that blood pressure changes；And
Processing step carries out the processing based on the index extracted.
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